imperial research grant

how to apply: 

for more than a decade, this program has provided funding for research projects carried out by faculty members and their 世界杯2022赛程表淘汰赛 .

areas of interest

environment

  • remediation of soil impacted by recalcitrant petroleum hydrocarbons, salts (mostly nacl) or both, to as close to pristine conditions as possible
  • improved delineation of soil impacted by petroleum hydrocarbons, salts or both
  • boreal forest wetland reclamation
  • novel environmental monitoring technologies (e.g., remote sensing, edna)
  • fundamental understanding of the interactions of minerals and residual hydrocarbon in the aqueous phase and what causes enhanced separation (e.g., use of additives such as polymers)
  • enhancements in sox, nox reduction technologies

in-situ bitumen recovery

  • bitumen-hydrocarbon-steam phase behaviors (vlle) with temperature and pressure variation (up to > 200°c)
  • dispersion and diffusion in porous media of methane in bitumen 
  • formation of hydrates upon depressurization of c2-c3-c1-bitumen-hc mixtures
  • miscible and partially miscible finger modeling (using macroscopic parameters)
  • mass transfer in solvent finger/bitumen matrix networks (diffusion and dispersion)
  • modeling of heat and mass transfer boundary layers in steam-thermal-solvent processes
  • modeling of asphaltene or asphaltene-rich heavy phase transport in heavy oil recovery process 

in-situ facilities

  • improvements in multiphase pumps, novel water softening, water hardness analyzers, waste heat utilization, external heat source engines, abrasion resistant materials
  • improved methods to detect, remove or prevent scaling and fouling on piping and vessels while minimizing downtime
  • improved methods of produced fluid measurement - quantification of multiphase produced fluid streams in presence of high temperature, vapour, solvents and viscous bitumen
  • improved methods to differentiate between native bitumen and reproduced injected solvent which have overlapping hydrocarbon components
  • economic optimization of in-situ solvent recovery processes and facilities under global constraints

analytical techniques for petroleum products

  • in-use online analysis of petroleum products
  • failure modes of in-service petroleum products
  • failure modes of industrial components that are lubricated with petroleum products
  • forensic analysis of lubricants and related industrial equipment
  • analytical techniques for new and used lubricants
  • oxygenate and speciation measurement in hydrocarbons
  • bio-content determination in petroleum hydrocarbons
  • metal measurement in process waters including sour water

refinery products, processes and facilities

  • novel approaches for the removal of sulphur, phosphorous and nitrogen from hydrocarbon streams
  • improved understanding of fouling and corrosion of process equipment both hydrocarbon and inorganic, and means to mitigate same
  • novel approaches for quality enhancements for fuel products, oxygenate containing fuel products, and asphalts
  • improvements in yields, run lengths, and molecular composition of product streams in refinery processing equipment
  • improved production of basestocks from crudes
  • breakthrough technology for energy efficiency improvement in refinery processing equipment, namely fired heaters and heat exchanger
  • enhanced process control system - modeling of refinery systems (improved molecular characterization, reaction kinetics, hydrodynamic modeling)
  • novel techniques for water conservation within a modern refinery
  • novel techniques to predict cold flow properties of fuels from feed qualities and operating conditions in fixed bed reactors
  • novel quench system designs for fixed bed reactors providing uniform fluid flow and quick installation and inspection

machine learning applied to simulation of chemical processes

  • predictive analytics: equipment failure prediction, such as compressors, pumps, etc.
  • hybrid modeling of chemical processes: combining first principle models with data driven models for a more comprehensive simulation
  • use of machine learning algorithms for root cause analyses purposes.
  • machine learning research in petroleum processes
  • tower flooding predictions with data driven algorithms
  • artificial neural network modeling and optimization of chemical processes, including fcc, hydrotreating, reforming, distillation, etc.
  • data anomalies and deviation detection with machine learning for monitoring purposes

chemicals

  • improvements related to polyethylene manufacturing
  • improvements related to polyethylene products particularly polyethylene for injection and rotational molding applications
  • improvements related to ethane/propane gas cracking to produce ethylene
  • improvements related to manufacturing of vinyl intermediates, aromatics and naphtha based solvents
  • improvements related to plastics recycling – technology improvements to enable improved flexible plastic packaging recycle chains
  • improvements related to advanced recycling technologies
  • investigate the effect of different bio sources in biofuels (gas and diesel) on polyethylene physical properties
  • investigate and improve the organoleptic properties of polyethylene
  • investigate methods to improve the barrier properties of rotational and injection molded parts
  • investigate methods to improve the paintability of rotational and injection molded parts
  • explore applications of polyethylene combined with bio-based materials
  • investigate methods to evaluate and improve the environmental stress crack resistance performance of polyethylene
  • safe transfer of synthetic polymer particles and dust properties
  • investigation into and new methods to characterize the long term performance of polyethylene

geoscience

  • diagenetic history, cementation, clay formation, burial history and petrographic studies of the mcmurray fm to determine the variation in ore quality
  • emplacement variability and degradation of northern alberta bitumen using novel approaches
  • resolve the stratigraphy and sedimentology of post cretaceous sediments in the athabasca region
  • applications of remote sensing to mine development
  • investigation of mud sedimentation in shallow water clastic depositional environments
  • modeling of oil migration pathways through the palaeozoic sediments of the athabasca basin
  • application of geophysical methods in predicting oil sands reservoir properties
  • application of geophysical methods, other than seismic, to characterize the caprock formation in oil sands thermal projects
  • hybrid modelling of reservoir processes
  • optimization of reservoir operation
external deadline: 
tuesday, december 31, 2024
funding source: 
external
funding level: 
research